Your browser doesn't support javascript.
loading
Long-Term Air Pollution Characteristics and Multi-scale Meteorological Factor Variability Analysis of Mega-mountain Cities in the Chengdu-Chongqing Economic Circle.
Li, Xiaoju; Abdullah, Luqman Chuah; Sobri, Shafreeza; Md Said, Mohamad Syazarudin; Hussain, Siti Aslina; Aun, Tan Poh; Hu, Jinzhao.
Afiliación
  • Li X; Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor Malaysia.
  • Abdullah LC; Xichang University, No. 1 Xuefu Road, Anning Town, Xichang City, 615000 Sichuan Province China.
  • Sobri S; Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor Malaysia.
  • Md Said MS; Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor Malaysia.
  • Hussain SA; Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor Malaysia.
  • Aun TP; Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor Malaysia.
  • Hu J; SOx NOx Asia Sdn Bhd, UEP Subang Jaya, 47620 Selangor Darul Ehsan Malaysia.
Water Air Soil Pollut ; 234(5): 328, 2023.
Article en En | MEDLINE | ID: mdl-37200574
Currently, air quality has become central to global environmental policymaking. As a typical mountain megacity in the Cheng-Yu region, the air pollution in Chongqing is unique and sensitive. This study aims to comprehensively investigate the long-term annual, seasonal, and monthly variation characteristics of six major pollutants and seven meteorological parameters. The emission distribution of major pollutants is also discussed. The relationship between pollutants and the multi-scale meteorological conditions was explored. The results indicate that particulate matter (PM), SO2 and NO2 showed a "U-shaped" variation, while O3 showed an "inverted U-shaped" seasonal variation. Industrial emissions accounted for 81.84%, 58% and 80.10% of the total SO2, NOx and dust pollution emissions, respectively. The correlation between PM2.5 and PM10 was strong (R = 0.98). In addition, PM only showed a significant negative correlation with O3. On the contrary, PM showed a significant positive correlation with other gaseous pollutants (SO2, NO2, CO). O3 is only negatively correlated with relative humidity and atmospheric pressure. These findings provide an accurate and effective countermeasure for the coordinated management of air pollution in Cheng-Yu region and the formulation of the regional carbon peaking roadmap. Furthermore, it can improve the prediction accuracy of air pollution under multi-scale meteorological factors, promote effective emission reduction paths and policies in the region, and provide references for related epidemiological research. Supplementary Information: The online version contains supplementary material available at 10.1007/s11270-023-06279-8.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Water Air Soil Pollut Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Water Air Soil Pollut Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos